Operations | Monitoring | ITSM | DevOps | Cloud

How DCI to the Edge will be important for AI

AI continues to dominate the networking landscape in 2025, but what impact will it have on future developments? The network edge is expected to play an increasingly significant role as AI model training in the core transitions to inference at the edge. This webinar will discuss the importance of the edge in AI advancements and explore how service providers can leverage their prime assets—space, power, and network infrastructure—to support this rapidly growing application.

What is a Branch in Git and How to Use It - Ultimate Guide

Developing a website or software isn't easy, a team of developers will be developing a new feature, other team will be testing whether the built feature works as expected, other might be fixing the bugs and so on. Managing these different versions of same code base must be a little tricky. Here comes the concept called branch in git which is used as a pointer to a snapshot of your changes. When we talk about branches in git these are the major questions that arises in our mind.

Announcing Densify's Latest Release: Smarter Kubernetes Automation, Built for the Enterprise

To coincide with KubeCon Europe 2025, we’re excited to announce the latest release of Densify’s Kubernetes optimization engine, Kubex, which delivers full-stack resource management and seamless automation resource optimization at enterprise scale. This release delivers the advanced controls enterprises have been asking for—without sacrificing the intelligence and precision that sets Densify apart.

Waterfall Charts - Concepts of Web Performance

Decode website loading sequences with Todd Gardner's essential guide to waterfall charts in this Concepts of Web Performance tutorial. Perfect for entry-level web developers struggling with slow websites, this video demystifies those intimidating colored bars you've seen in Chrome DevTools, WebPageTest, and monitoring tools like Request Metrics. Learn to interpret the crucial elements of waterfall charts—from request queuing and waiting times to content downloading phases—all visualized on a timeline measured in milliseconds.

Leveraging AI for enhanced network monitoring in healthcare: A guide for CXOs

During emergencies and illnesses, people expect intuitive healthcare services. When multiple tests and reports are involved, patients anticipate that the results will be available to their doctors instantly for quick diagnoses. Waiting for a paper copy of each test result is not feasible.

Decoding AI-led event correlation for mastering modern IT management

"The whole is more than the sum of its parts," said Aristotle. This quote fits the amazing world of modern IT, where several intricate, interwoven, and intensely dynamic ecosystems come together. Today, every component, from applications and microservices to networks and databases, interacts dynamically. To ensure seamless operations, IT teams are expected to decode the language of these interactions: events and incidents.

Going beyond MTTx and measuring "good" incident management

Going beyond MTTx and measuring “good” incident management We’ve chatted with hundreds of engineering teams, and a pattern keeps popping up: everyone’s tracking MTTX metrics—MTTR, MTTA, MTT-whatever—but when you ask, “Cool, so what are you doing with that?” …you get blank stares. And honestly, fair enough. Time-based metrics are easy.

Uplink | Episode 2: Data Center Boom: Navigating the Hottest Industry in the World

How did data centers become one of the hottest industries on the planet? DataBank CEO Raul Martynek joins us to break down the explosive growth of digital infrastructure—and what it really takes to scale in the AI era. The data center industry stands at the epicenter of today's technology revolution, experiencing what industry veterans call "the best market ever seen." In this revealing conversation with DataBank's CEO, we dive deep into the forces driving unprecedented growth in digital infrastructure and why this sector has become perhaps the hottest industry globally.

Machine learning vs AI: Key differences and how they work together

Machine learning (ML) and artificial intelligence (AI) are often used interchangeably in tech discussions, yet they represent distinct concepts with important differences. While AI refers to the broader field of creating machines capable of intelligent behavior that mimics human capabilities, machine learning is a specific subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data.